January 21, 2013
After several years of articles focused simply on what big data means, the time has finally arrived where many media outlets are moving beyond definitions in their coverage. HR Bartender breaches the subject of massive volumes of petabytes in regards to the opportunities and actionable information it produces in their recent article, “Moving from Big Data to Real Insight.”
The article tells us to acknowledge but bypass skepticism, focus on success and build off of small victories. Among many professional tips and guidelines for creating insights out of numbers, the author emphasizes the prime motivation as enabling a better customer and client experience.
The article recommends:
It’s important to understand how to get insights from our data. And before companies try to incorporate big data into their strategy, here are a few things to consider. Identify the “why”. Companies need to know why they are gathering data. Example: In the IBM CEO study, chief executives talk about building data to serve their customers. Their goal is to empower customer facing staff by using analytics to create a better customer experience.
Moving the needle from a chaotic array of data holed up in silos in various programs and applications will be challenging without the proper infrastructure component. PolySpot, for example, with over one hundred connectors aids in the technological side of information access.
Megan Feil, January 21, 2013
Sponsored by ArnoldIT.com, developer of Beyond Search
January 11, 2013
We’ve heard it before and we’re hearing it again: computers and data are nothing without the intelligence and analysis skills of data scientists. This time the age-old insight comes from a recent GigaOM article called “Why Big Data Might Be More About Automation Than Insights.”
The author discussed how attorneys are using big data technologies to sift through terabytes of electronic documents with Recommind CEO Bob Tennant.
The following insight was shared from their conversation:
Predictive coding, as it’s called, frees them up to focus more on case strategy than on the tedium of analyzing every single PDF and email message to figure out if it’s relevant to a case. However, he noted, although the software typically does a better job than a person alone would do, most law firms still use a hybrid man-machine approach to leverage the strengths of both and ensure nothing gets missed.
While big data technologies are certainly replacing the need for employees to manually read huge stacks of documents, we would not say that automation is where these technologies end. Key insights are delivered from business intelligence software like PolySpot that, through connectors, has the capability of uncovering information from over 100 different file types.
Megan Feil, January 11, 2013
Sponsored by ArnoldIT.com, developer of Beyond Search
Study Reveals Data and Solutions that Allow for Analysis to be as Valuable as Land, Labor and Capital
January 8, 2013
We lucked into finding a copy of Capgemini EIU Big Data Study available for perusing on Slide Share. The Economist Intelligence Unit from this consultancy agency surveyed over 600 business leaders worldwide and across different industry sectors about the use of Big Data in their organizations.
The survey pointed to certain challenges for decision making arising from Big Data. Volume is not the toughest problem for analysts to deal with. 85% of respondendts felt that the challenge lies in the access to big data and the ability to analyze it in real-time.
The article states:
Familiar challenges relating to data quality, governance and consistency also remain relevant, with 56% of respondents citing organisational silos as their biggest problem in making better use of BigData. For our respondents, data is now the fourth factor of production, as essential as land, labour and capital. It follows that tomorrow’s winners will be the organisations that succeed in exploiting Big Data, for example by applying advanced predictive analytic techniques in real time.
It is clear from this article and the findings reported in the study that a greater emphasis must be placed on connectors, such as those found in solutions from PolySpot. Their infrastructure technologies allow analysts to easily access and analyze data in real time.
Megan Feil, January 8, 2013
Sponsored by ArnoldIT.com, developer of Beyond Search.
January 7, 2013
While companies have been striving for operating in a data-driven manner for over a century, there are still factors that prevent this supposed ideal from reaching the full potential. Forbes discusses recent studies on this topic in their article, “Big Data in the Enterprise: A Lesson or Two from Big Brother.”
A recent survey by Capgemini and the Economist Intelligence Unit delves into the depths on just how data-driven companies are today. Results have shown that many organizations are struggling to keep up with huge volumes of data. Unfortunately, almost 55 percent of respondents from around the world said that big data solutions were not recognized as necessary by senior level management in their companies.
The article discusses the processes involved in crunching big data down to size:
Once the data has been ingested, the next most critical aspect will be data storage. To gain maximum value, data needs to be potentially pre-processed in memory, and then stashed away for further analysis including trending and comparing over time. For this, fast disks and often petabytes of it with the right software that makes it possible to find data down the road, is needed.
While insights from big data will likely remain a mystery to some, there are other organizations ahead of the curve that are already employing solutions from the likes of enterprise data extraordinaires such as PolySpot. Their solutions focus on the most critical aspect of churning knowledge out of big data: connectivity and delivery.
Megan Feil, January 7, 2013
Sponsored by ArnoldIT.com, developer of Beyond Search.
December 26, 2012
The various ways to utilize Big Data without suffering unnecessary storage headaches has made headlines over the past few years. Some software applications evolved early to create a cure. Steve Todd’s article “Information Playground: Technologies for the Emerging Digital Universe” rehashes the facts about M2M usage increases and the importance of processing that incoming data.
The digital universe is not emerging, as it reared its head a decade ago. Instead it is technology that is emerging, as new developers experiment with ways to manipulate and benefit from the massive amounts of incoming data:
“More and more streaming data will be ingested into in-memory, distributed data grids. The key is the in-memory, horizontal scale provided by these types of technologies. Business logic accepts streaming machine input from sensors and immediately stores them in either key-value (Gemfire) or SQL (SQLFire) format. More and more streaming machine data will be process in real-time by a technology known as CEP, Complex Event Processing. This is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), and deriving a conclusion from them.”
Thought provoking, but established developers considered these possibilities a decade ago and made provisions to navigate and mine the resources of the digital universe. We think preparing the enterprise for the continuing deluge of information will benefit from working with a full service firm such as Intrafind, whose consulting services can guide organizations through the strategy that will make the most of their data investments.
Jennifer Shockley, December 26, 2012
December 21, 2012
A leader in CRM data integration recently announced impressive Q3 results and consistent growth, thanks to long-term investments, CRM integrations, and increased ISV partner adoption. Scribe Software also states that integrating CRM with enterprise-wide systems is all about accelerating business pace, according the article “Scribe Reports Consistent Year Over Year Growth, Up 22% YTD” on MarketWire.
President and CEO of Scribe Software, Lou Guercia, continued on the success of the company:
“Today’s businesses need their data and need it now — to better serve customers, to make their sales and account teams more effective and efficient, to close more sales faster, and to earn better return on their technology investments. We enable ISVs, systems integrators and businesses to integrate critical customer data while saving time and IT costs and we do it well, as our business results show."
The company was also recently recognized as one of the industry’s top software companies and for having the best cloud application, we learn in the same article.
We completely agree that successful integration of management, search, and back-end functionality is a critical component for comprehensive information solutions. Options exist and one that you may want to pursue is with IBM’s Pure system, coupled with the mature, open-source based Intrafind enterprise search solution.
Andrea Hayden, December 21, 2012
December 20, 2012
It is no secret that big data is the hot topic in every business and technology oriented publication around the world. However, many businesses remain in the dark with their unanswered questions regarding the ideal information management solutions or infrastructure components to free big data from information silos. All Things D reports on information management as it pertains to our current era of big data in the article, “A New Storage Paradigm for Big Data.”
The article summarizes some of the common and notable variables that can change how a company develops their strategy for utilizing big data:
As a result of this “free” data capture, increasing information granularity, more frequent usage and extended data value, businesses, research institutions and governments are growing enormous stores of large unstructured data (increasingly video) that needs to be stored and managed. This result presents a number of challenging data storage problems: extreme scalability; affordability (in general); managing the balance between cost and easy online access; maximizing application and user access; and assuring data durability.
Solutions from big data vendors such as PolySpot serve as an ideal technology component for an enterprise that needs to enable real-time access to data for analysts to make important decisions. One highlight of this solution lies in the numerous connectors provided; we are talking about a library of over 100 connectors.
Megan Feil, December 20, 2012
December 11, 2012
A recent article from Entrepreneur states what we have all been thinking over the last several years in particular. Big data is now a fact of life. Huge volumes of data are not only created by each of us on a regular basis, but we also utilize these pieces of data to inform us in every industry imaginable. The article, “ The Goliath of Big Data Meets Its David,” discusses this in regards to a potential new solution.
This solution comes from none other than a new Silicon Valley business-to-business startup Peaxy. The essential goal is to eradicate dependence on a certain brand of hardware or generation of server. Then, clients’ data can be freed from individual silos.
The article states:
By allowing the data to mingle freely in a single “namespace” composed of many servers, they say, you can glean insights from multiple blocks of data. Terranova gives the example of car manufacturers that need to marry proprietary engineering data with customer feedback in order to build accurate predictive models for vehicle maintenance problems.
Silos must be broken down; there is no doubt about that. We have seen much success in this regard from one company in particular: PolySpot. With over 100 connectors, their solutions deliver information securely across the enterprise in real-time.
Megan Feil, December 11, 2012
December 10, 2012
The customer experience is more vital than ever because of real-time technologies and social media capabilities. Customers have the power to influence more than ever and businesses have the power to analyze and use this information for their benefit.Destination CRM reported on a new version of a top solution for Customer Experience Management in “Clarabridge Launches 5.5.”
This updated version of Clarabridge allows organizations to have a comprehensive collection and analysis of customer feedback data and it can be shared across the enterprise.
Sid Banerjee, CEO of Clarabridge said in a statement:
“We recognize that solving today’s customer experience challenges requires intelligently delivering customer experience to every business stakeholder, including the customer. The latest release of Clarabridge 5.5 revolutionizes the way companies engage with customers in real time. Regardless of how a customer reaches out to a business, through social media, email, or a different method of communication, Clarabridge 5.5 empowers companies to drive new levels of customer engagement, loyalty and retention.”
Expect more connectors, enhanced analytics and extended language capabilities in Clarabridge 5.5. We will expect to see many enterprise organizations benefit from this new technology.
Megan Feil, December 10, 2012
December 7, 2012
Big data continues to offer much promise for many enterprise organizations as there are case studies presented showing companies reaping benefits left and right. However, there are many companies using big data solutions that are not impressed with their results. Datamation reveals more information on this subject in “Big Data Challenges: Business Analytics Pain Points Persist.”
Over 300 senior executives and managers from medium and large companies around the world were surveyed this summer on their experiences utilizing big data and the technologies needed to do so. 55% reported complaints with the technologies they were using.
The article states:
Simply put, more than half say their tools don’t give them the information they need, don’t include key data points, aren’t available to all who need the info, aren’t fast enough or easy to use. And anyone who is surprised at those gripes has been hiding in the data center too long. I’ve heard the same (and more) complaints five or even 10 years ago.
The key to successful ROI with big data technologies lies in selecting a solution that delivers information quickly and efficiently. Using a library of over 100 connectors, PolySpot is considered preeminent by those who have deployed this technology for working with big data.
Megan Feil, December 7, 2012